AIM: This special session emphasizes the extent to which Machine Learning in Visual Communication & Image Representation can help specialists in understanding and analyzing complex images. The field of visual communication and image representation is considered in its broadest sense and covers both digital and analog aspects as well as processing and communication in biological visual systems. It focuses on methodologies for extracting useful knowledge from images, and on the progress of diverse disciplines such as artificial intelligence, machine learning, medical imaging, and other related topics.
SCOPE: The scope is to establish an effective communication channel between researchers, developers and professionals from both academia and the industry so that they can report the latest scientific and theoretical advances in Visual Communication & Image Representation. It also aims to reveal useful information to specialists, allowing them to extract implicit knowledge, uncover new relationships and the like which are not explicitly expressed in images. Developments in this field will help to intensify interdisciplinary discovery.
A Research area for this Special Session includes:
Affiliation: Assoc. Prof., GLBITM, Greater Noida
Email: krishnaiitr2011@gmail.com
Affiliation Assoc. Prof., Galgotias University, Greater Noida
Paper Submission Opens | July 1st, 2019 |
Papers Due ( Regular Tracks ) | Oct 18th, 2019 |
Papers Due ( Special Sessions ) | Oct 18th, 2019 |
Notification | Nov 15th, 2019 |
Final Manuscript of Submission Due | Nov 22nd, 2019 |
Registration Due | Nov 22nd, 2019 |
Conference Dates : 24th - 25th January, 2020 |
PUBLICATION PROCEEDINGS (APPLIED**)
All SmartCom 2020 presented papers will be published in conference proceedings by Springer Smart Innovation, Systems and Technologies (SIST). Series: http://www.springer.com/series/8767
The books of this series are submitted to EI-Compendex, SCOPUS, Google Scholar and Springerlink **
All submissions should be made directly at the Session Chair (s) for Special Session Chair Email ID : krishnaiitr2011@gmail.com
Important Note - Papers submitted directly to conference will not be considered under Special Session 3.